{"id":"W7093291619","doi":"10.5281/zenodo.17424857","title":"Phyllium ouelleti Cumming, Foley, Hennemann, Le Tirant & Buscher 2025, sp. nov.","year":2025,"lang":"","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Philosophy, Science, and History","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Espace pour la vie","funders":"","keywords":"Holotype; Margin (machine learning); Lobe; Morphology (biology); Body surface; Type (biology)","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002504677,0.001204351,0.0005115457,0.001914341,0.001315868,0.0007761295,0.0009163538,0.001543098,0.007660174],"category_scores_gemma":[0.000950821,0.0003794985,0.0003396908,0.001089923,0.0005443209,0.001458077,0.0008828309,0.001144262,0.005383],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001080345,"about_ca_system_score_gemma":0.0006377,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01198176,"about_ca_topic_score_gemma":0.01566424,"domain_scores_codex":[0.9997281,0.00001934982,0.00003414035,0.00009471121,0.00006799748,0.00005562822],"domain_scores_gemma":[0.9996489,0.00006069563,0.0001482227,0.00003840018,0.0000602527,0.0000434708],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0009611035,0.0003536036,0.0521262,0.003847667,0.0002660527,0.01056199,0.003195513,0.003254914,0.08168164,0.002860202,0.06718631,0.7737048],"study_design_scores_gemma":[0.0002526707,0.0004588319,0.3118921,0.002314107,0.0005087551,0.02270251,0.00219402,0.002225241,0.01134706,0.0009397652,0.6450725,0.00009246317],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.4838561,0.06962509,0.02155686,0.003966978,0.004294598,0.002477563,0.02559109,0.003150799,0.385481],"genre_scores_gemma":[0.9029403,0.01357386,0.02130712,0.002685749,0.0006523546,0.001093647,0.01224777,0.0002011901,0.045298],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.01198176,"threshold_uncertainty_score":0.02562588,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04314287241072654,"score_gpt":0.2392573716764276,"score_spread":0.1961144992657011,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}